Level

Cresta

Revenue Analytics Manager

Cresta is hiring a Revenue Analytics Manager for a remote role open to applicants in United States. It pays $120k-$175k a year and Level rates it ; you can apply on Cresta.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Claude, Vertex AI and AI agents.
  • Level lists 86 other open roles at Cresta.

AI in this role

claudevertex-ai
ai-agents

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. 

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

About the Role

We're looking for a Revenue Analytics Manager to join our Business Data & Intelligence team at a critical inflection point. As Cresta scales, this role exists to build and own the analytical infrastructure that powers our GTM engine — translating data from across Sales, Marketing, and Customer Success into trusted, decision-ready insights. Reporting directly to the Senior Director of Business Data & Intelligence, you'll be a senior individual contributor and emerging team leader — owning a broad portfolio of recurring reporting, building scalable dashboards, and driving automation that multiplies the team's impact. This is the right role for someone who has thrived in a startup environment, is technically strong, business-fluent, and energized by the challenge of bringing order and insight to a fast-moving, high-growth company.

Key Responsibilities

Sales, Marketing & CS Reporting

  • Own recurring reporting across Sales, Marketing, and CS: pipeline, win rates, ARR, funnel performance, churn/retention metrics, and usage data
  • Build and maintain reporting infrastructure in Looker Studio, BigQuery, and Salesforce
  • Ensure reports are accurate, timely, and accessible to the right stakeholders
  • Identify trends and surface insights proactively — don't wait to be asked

Dashboard Architecture & Build

  • Design and build standard and mid-complexity dashboards for GTM stakeholders
  • Collaborate with the Senior Director on architecture for high-visibility exec-facing dashboards
  • Establish dashboard standards: naming conventions, refresh cadences, data source documentation
  • Maintain a self-service reporting culture — build dashboards people can trust and use without hand-holding

Automation & Operational Efficiency

  • Identify and eliminate manual, repetitive processes across the BD&I team and GTM stakeholders
  • Build automated workflows in Salesforce, Looker Studio, and adjacent tools
  • Document automation logic and maintain operational runbooks for key recurring processes

Stakeholder Support

  • Own complex and ambiguous ad hoc requests
  • Translate business questions into clear analytical frameworks and communicate findings clearly — in writing, in dashboards, and in live settings

Data Quality & Governance

  • Serve as the escalation point for data quality and SFDC issues — investigate root causes and drive resolution
  • Establish and enforce data standards across reporting domains you own
  • Ensure GTM KPI definitions are consistent and documented

Qualifications

Required:

  • 5–8 years in data analytics, business intelligence, or GTM/Revenue Operations — with meaningful experience at a startup or high-growth SaaS company
  • Demonstrated ability to operate autonomously in an ambiguous, fast-moving environment
  • Proven ownership of reporting across at least two GTM functions (Sales, Marketing, or CS)
  • Strong proficiency in Looker Studio or comparable BI tool (Tableau, Power BI)
  • Hands-on experience with Salesforce — reporting, data model, and CRM operations
  • Working SQL with BigQuery or equivalent cloud data warehouse experience
  • Strong written and verbal communication — comfortable presenting findings to leadership
  • Highly organized, detail-oriented, and able to manage multiple workstreams simultaneously

Nice to have:

  • Experience building Claude or LLM-powered internal tools or workflows
  • Familiarity with Upside, Snowflake, or similar modern data stack tools
  • Prior experience in a formal manager or team lead role
  • Background in GTM compensation, quota, or territory analytics
  • Exposure to board-level or C-suite reporting cycles
  • Experience with Salesforce Flows or process automation

Benefits

  • Competitive compensation & equity, aligned with experience and market benchmarks
  • Comprehensive medical, dental, and vision insurance
  • Remote-first culture with opportunities for in-person collaboration
  • Professional development budget for courses, conferences, and ongoing learning
  • Generous PTO and holidays
  • Inclusive culture committed to diverse backgrounds and perspectives

Compensation at Cresta:

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $120,000 - $175,000 + Equity

Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email).

Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.

Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.

How we rate this

Revenue Analytics Manager at Cresta rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsClaudeVertex AI

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used Claude in your day-to-day work.
  3. What are the limits of Vertex AI that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI agents, Claude, and Vertex AI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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